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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 20362
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    INDEX
    Explanations

    measurements and numerical values, such as distances, dimensions, quantities, and rates

    oai_token-act-pair · gpt-3.5-turbo

    instances of measurements or quantities related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONSORED
    -0.80
    lies
    -0.75
    iments
    -0.74
    things
    -0.72
    flies
    -0.72
    eyes
    -0.72
    ymm
    -0.71
    ARDIS
    -0.67
    inside
    -0.66
    imore
    -0.66
    POSITIVE LOGITS
     whopping
    1.42
     total
    1.38
     maximum
    1.30
     median
    1.14
     diameter
    1.10
     lifespan
    1.04
     staggering
    1.01
     minimum
    1.00
     radius
    0.99
     cumulative
    0.99
    Activations Density 0.159%

    No Known Activations